Mumbai, Maharashtra, India
Quality is what got me here. AI is what's making me better at it. I'm a QA Specialist at Bank of America with 4+ years of experience testing web applications, APIs, and end-to-end flows in a large-scale financial environment. ISTQB CTFL certified, hands-on with Selenium, Java, Postman, and SQL. A year ago I started asking a simple question — what if AI could handle the generic parts of QA, so I could focus on the parts that actually need thinking? That question led me to: - Using prompt engineering to generate test cases directly from requirements — freeing up mental energy for edge cases and risk areas that actually matter - Building structured prompts for defect reporting and requirement analysis that reduce ambiguity and sharpen communication - Using GitHub Copilot Chat as a thinking partner — analysing user stories, identifying what to test and what to skip, surfacing better questions to ask developers, and improving overall test coverage - Building AI-powered testing agents with GitHub Copilot and Playwright — including a learning agent that builds a living knowledge base about our product, accessible to every QA on the team - Continuously testing and refining prompts, because building reliable agents is an iterative process The shift wasn't about chasing a trend. It was about redirecting mental energy from what's routine to what's actually worth solving — and building tools that do the same for the people around me. If you're exploring how AI can practically improve testing workflows, I'm always open to exchanging ideas.
Specialise in testing POS system, Banking & Payments with E-commerce within a distributed QA team, across multiple application areas Execute end-to-end, functional, regression and API testing across dynamic release cycles — weekly, biweekly, monthly or quarterly depending on project demand Applying prompt engineering to generate test cases from requirement documents, reducing early-stage test design time and improving coverage of edge cases Using GitHub Copilot Chat as a thinking partner to analyse user stories, identify test scope, and surface sharper questions for developers — improving communication and reducing requirement ambiguity Building AI-powered testing agents using GitHub Copilot and Playwright, including a learning agent that creates a living product knowledge base accessible to the entire QA team Continuously iterating on prompt design to improve agent reliability and output quality
Transitioned into a quality-focused capacity within Bank of America, leveraging deep product and domain knowledge to contribute to QA activities ahead of a formal role change to Quality Specialist. - Trained under senior QA engineers on testing methodologies, processes, and tools used within the bank's QA practice - Applied domain expertise as a product specialist to draft test cases covering known business flows, edge cases, and functional scenarios - Contributed to early-stage test case design and review — bridging the gap between product knowledge and structured QA practice - Continued as Employee Engagement SPOC for the Mumbai location — organising team events, outings, and volunteering activities
Delivered L1 technical support for Zuza POS software across hardware and software troubleshooting, store setup and configuration Acted as the bridge between end users and the development team — logging incidents, replicating issues and reporting bugs with clear reproduction steps
Started in HP hardware and software support — troubleshooting laptops, desktops, OS issues, network problems and peripherals for consumer and business customers Progressed into HP Smart Friends, a premium paid support tier covering the full HP product ecosystem including printers, docking stations, webcams and third-party software Developed strong diagnostic thinking, customer communication and structured problem-solving skills.